基于均衡理论的服务覆盖网络路由算法研究

基于Wardrop均衡理论提出了一种跨域的自适应的多下一跳路由算法,仿真实验表明该算法在满足用户QoS需求的同时,能在SON经营者和ISP提供商双方利益博弈的过程中找到均衡点,既均衡网络负载提高网络利用率,又使SON经营者的收益最大化.     

Contrastive and attentive graph learning for multi-view clustering

Graph-based multi-view clustering aims to take advantage of multiple view graph information to provide clustering solutions. The consistency constraint of multiple views is the key of multi-view graph clustering. Most existing studies generate fusion graphs and constrain multi-view consistency by clustering loss. We argue that local pair-view consistency can achieve fine-modeling of consensus information in multiple views. Towards this end, we propose a novel Contrastive and Attentive Graph Learning framework for multi-view clustering (CAGL). Specifically, we design a contrastive fine-modeling in multi-view graph learning using maximizing the similarity of pair-view to guarantee the consistency of multiple views. Meanwhile, an Att-weighted refined fusion graph module based on attention networks to capture the capacity difference of different views dynamically and further facilitate the mutual reinforcement of single view and fusion view. Besides, our CAGL can learn a specialized representation for clustering via a self-training clustering module. Finally, we develop a joint optimization objective to balance every module and iteratively optimize the proposed CAGL in the framework of graph encoder–decoder. Experimental results on six benchmarks across different modalities and sizes demonstrate that our CAGL outperforms state-of-the-art baselines.     

基于群体特征的社交僵尸网络检测方法

攻击者通过在社交网络中部署由大量社交僵尸账号组成的社交僵尸网络,对社交网络进行渗透,严重危害了社交网络和用户的信息安全.我们首次提出一种基于群体特征的社交僵尸网络检测方法.提取社交僵尸网络中账号注册时间集中、昵称相似和活跃时间一致3个群体特征,结合数据挖掘算法,设计一种社交僵尸网络的检测方法.在对新浪微博中48万个账号的检测实验中,检测出多个社交僵尸网络,共包含6 899个社交僵尸账号.较低的漏报率和误报率表明该方法对于社交僵尸网络和僵尸账号的检测是可行和有效的.     

一种针对在线社交网络的自动化僵尸账号攻击方案

分析僵尸账号对社交网络的主要威胁及社交网络对僵尸账号的检测机制,针对现有检测机制的不足设计规避检测的策略.使用该策略设计并实现一款利用僵尸账号对社交网络进行攻击的自动化工具.使用该工具对国内外最大的2个社交网站进行攻击测试.实验结果证明了策略与工具的有效性,并证明了社交网络针对僵尸账号的检测机制仍存在不足.     

异构网络中基于比例速率限制的网络选择和资源分配算法

针对UMTS/WLAN异构网络中的无线资源管理问题,提出基于比例速率限制的网络选择和资源分配算法.为保证用户间的公平性,将问题建模为带比例速率约束的系统吞吐量最大化问题.通过求解放松约束后的优化问题,得出用户网络选择与其到不同网络的可达速率之比相关的推论,并依此提出一种低复杂度的分布式算法.仿真结果表明,所提算法与原优化问题解的上界相比只有较小的性能损失,同时能有效保证用户间的公平性.     

机会网络中节点协作的Epidemic路由算法

Epidemic路由算法是一种多副本路由算法,在资源受限的情况下,会由于无限制的洪泛使得网络中存有大量的消息副本,消耗大量网络资源,导致网络性能下降。针对Epidemic路由算法中存在的问题,提出一种基于节点协作的Epidemic路由算法,该算法通过节点间相互的协作和一定策略抑制网络中副本数多的消息的转发机会,提高副本数少的消息的转发机会,进而控制网络中总的消息副本的增长,以此保证消息转发公平性和较好的网络性能。仿真结果表明,与传统的Epidemic路由算法和Prophet路由算法相比,该路由算法能显著提高消息的交付率,减少消息传输延迟和路由开销,有效提高了网络总体性能。     

Interactive learning in an urban environmental education online course

Online courses play an increasing role in professional development of environmental educators, yet little information is available on the interactive processes involved in online learning. We examined the relationship of three types of interactions in an urban environmental education online course – participant–participant, participant–instructor, and participant–content – to four course outcomes: participants’ motivation to learn, intent to adapt ideas and information learned through the course in their practice, actual adaptation of ideas in their practice, and development of professional networks. Content analysis was used to characterize participants’ and instructors’ weekly online posts and comments, and generalized estimation equation modeling was used to explore the relationships between interactions and outcomes. The results showed that participant–content interaction had significant positive relationships with participants’ motivation to learn, intent to adapt ideas, and adaptation of ideas. Participant–participant interaction had significant positive relationships with participants’ motivation to learn, and development of professional networks with each other. Finally, participant–instructor interaction had a significant positive relationship with participants’ development of professional networks. The results of this study can be used to improve professional development online courses for environmental educators.     

配电网理论线损计算算法比较

本文归纳和比较了在配电网中理论线损计算的两类常规方法:基于均方根电流原理的近似计算和潮流计算,概括地阐述了几种常见方法的基本原理和优缺点,并在此基础上提出了一种优化算法的思想.     

The effect of toxicity on COVID-19 news network formation in political subcommunities on Reddit: An affiliation network approach

Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19.     

基于无线传感网络的机器人竞赛裁判系统设计

设计了一种基于无线传感网络的机器人竞赛裁判系统.开发了机器人击打感应道具、全场定位系统、WiFi无线数传网络.实现了比赛中各机器人和比赛道具状态通过无线方式与裁判系统实时通信,显示比分和自动判罚的功能.能够实时感知场上所有机器人的状态、位置信息,并记录、统计、显示双方机器人的得分情况,减少人工裁判的误判、漏判现象,有效...